Title :
Research on spectrum correlation recognition method of non-cooperative signal CDMA2000
Author :
Chang-bo Xiang; Jian-hua Xu; Hua-jun Song; Fen Liu
Author_Institution :
Science and Technology on Electronic Test & Measurement Laboratory, Qingdao 266555, China
Abstract :
With the rapid development of modern communication technology, communication networks become increasingly complex environment. In order to monitor if the wireless signal with the same frequency is illegal, this paper proposes a method of intelligent recognition to CDMA2000 based on spectral correlation. First, the power spectrum is used for initial comparison, then, we use spectral correlation to extract the characteristics of strong anti-jamming capability, cross correlation coefficient ?1 between the sections of cycle frequency and frequency, cross correlation coefficient m between the sections of cycle frequency and projection of cyclic spectrum on the surface of the frequency ? = m / T, cross correlation coefficient Rx?(?) between the sections of frequency and projection of cyclic spectrum on the surface of the frequency ?, so as to compare features. The experimental results show that these features can maintain a certain stability when low SNR and multipath channel change, and can effectively identify whether the signal is CDMA2000. Therefore requirements of CDMA2000 signal intelligent recognition is satisfied.
Keywords :
"Correlation","Modulation","Feature extraction","Wireless communication","Monitoring","OFDM","Mathematical model"
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
DOI :
10.1109/ICCSNT.2015.7491002